Sr. Software Engineer

NetApp•San Jose, WA

1d•$160,000 - $215,000

About The Position

NetApp’s Cloud AI Team is building a new AI agent product for enterprise customers. The team is applying large language models, agentic frameworks, and multi-cloud engineering to help Fortune 500 companies automate complex workflows across enterprise on-premises and cloud deployments. We are looking for a Senior Software Engineer to join the Cloud AI Team. In this role, you will design systems, write production code, and make foundational technical decisions that shape how the product works. You will be part of a high-performing team and collaborate with a talented group of engineers and product managers to deliver scalable, robust, and impactful AI solutions. What You Will Build Design and build AI agent systems that reason about complex enterprise environments, integrate with external tools and data sources, and take reliable action on behalf of users. Develop the backend services, APIs, and orchestration layers that power agent execution, tool integration, and multi-cloud operations. Build developer-facing surfaces including APIs, SDKs, and tooling that make the product accessible, reliable, and intuitive for both internal and external users. Own end-to-end delivery of features from design through production, including architecture, implementation, testing, deployment, and operational support. Make foundational design decisions for a new product: data models, API contracts, service boundaries, and infrastructure patterns that will define how this system scales. Work across the stack in a high-ownership team where everyone builds and everyone ships.

Requirements

Design and deliver complex cloud-native applications that meet performance, scale, and reliability requirements.
Solid programming experience in server-side languages and frameworks (e.g., Node.js, Python, Java, Golang, or Rust).
Experience with front-end technologies (HTML5, CSS3, JavaScript/TypeScript) and frameworks such as React or Angular is a plus.
Proven ability to develop RESTful APIs or microservices, work with web frameworks, and integrate with databases (SQL and/or NoSQL).
Experience building and maintaining CI/CD pipelines and infrastructure using tools such as Jenkins, GitHub Actions, or Azure DevOps.
Understanding of security best practices, including authentication/authorization (OAuth, SSO), encryption, and compliance standards.
Proven ability to make sound design decisions: you can evaluate trade-offs, define system boundaries, and own the architecture of the components you build.
8+ years of industry experience in software development.
3+ years of experience in building and operating cloud-native, fault-tolerant, highly scalable architectures, including service-oriented architectures, cloud-native services (FAAS, PAAS), with at least one hyperscaler (Azure, AWS, GCP).
Bachelor's degree in Computer Science, Engineering, or a related field.

Nice To Haves

Experience with LLM integration, AI agent frameworks, or building systems that incorporate model inference into production workflows (tool calling, retrieval-augmented generation, prompt engineering).
Familiarity with agentic design patterns: tool-use protocols, context management, multi-step reasoning, and grounding AI models in real-time data.
Experience building developer tools, extensions, or CLI tooling used by external developers.
Experience with cloud platforms (AWS, Azure, GCP) and containerization tools such as Docker and Kubernetes, and infrastructure-as-code tools (e.g., Terraform, CloudFormation).
Experience with enterprise cloud infrastructure, data management, or storage systems.
Experience in a fast-paced environment where you built new systems end-to-end, not just extended existing ones.
Master's Degree Preferred.

Responsibilities

Design and build AI agent systems that reason about complex enterprise environments, integrate with external tools and data sources, and take reliable action on behalf of users.
Develop the backend services, APIs, and orchestration layers that power agent execution, tool integration, and multi-cloud operations.
Build developer-facing surfaces including APIs, SDKs, and tooling that make the product accessible, reliable, and intuitive for both internal and external users.
Own end-to-end delivery of features from design through production, including architecture, implementation, testing, deployment, and operational support.
Make foundational design decisions for a new product: data models, API contracts, service boundaries, and infrastructure patterns that will define how this system scales.
Work across the stack in a high-ownership team where everyone builds and everyone ships.
Collaborate closely with team members to integrate systems and ensure high-quality deliverables for customer success.
Actively mentor and develop team members to build a strong, high-performing team.
Work as part of a larger team, collaborating closely with team members and leadership to ensure overall team objectives are met as ONE team.